Robert M. Broadfoot, D. Miles, Warren Holley, A. Howarth
{"title":"群回波磁强计的现场校正","authors":"Robert M. Broadfoot, D. Miles, Warren Holley, A. Howarth","doi":"10.5194/gi-11-323-2022","DOIUrl":null,"url":null,"abstract":"Abstract. CASSIOPE/e-POP, now known as Swarm-Echo, was launched in 2013 to study polar\nplasma outflow, neutral escape, and the effects of auroral currents on radio\npropagation in the ionosphere. The e-POP suite contains an array of eight\ninstruments, including two fluxgate magnetometers on a shared boom. Until\nnow, the two magnetometers relied on a set of preflight calibrations, which\nlimited the accuracy of the magnetic field product and the magnetometers' utility for\nsome applications. Here we present the results of an in situ calibration\nperformed on data from 3 January 2014 to 30 January 2021 and a case\nstudy showing the improvements the calibration has made to the data utility.\nPeriodic vector–vector calibration using the CHAOS magnetic field model\nresults achieves an estimated root-mean-square (rms) uncertainty of 9 nT during nominal\noperation. This data product is now openly available through the ESA Swarm\nrepository.","PeriodicalId":48742,"journal":{"name":"Geoscientific Instrumentation Methods and Data Systems","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"In situ calibration of the Swarm-Echo magnetometers\",\"authors\":\"Robert M. Broadfoot, D. Miles, Warren Holley, A. Howarth\",\"doi\":\"10.5194/gi-11-323-2022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. CASSIOPE/e-POP, now known as Swarm-Echo, was launched in 2013 to study polar\\nplasma outflow, neutral escape, and the effects of auroral currents on radio\\npropagation in the ionosphere. The e-POP suite contains an array of eight\\ninstruments, including two fluxgate magnetometers on a shared boom. Until\\nnow, the two magnetometers relied on a set of preflight calibrations, which\\nlimited the accuracy of the magnetic field product and the magnetometers' utility for\\nsome applications. Here we present the results of an in situ calibration\\nperformed on data from 3 January 2014 to 30 January 2021 and a case\\nstudy showing the improvements the calibration has made to the data utility.\\nPeriodic vector–vector calibration using the CHAOS magnetic field model\\nresults achieves an estimated root-mean-square (rms) uncertainty of 9 nT during nominal\\noperation. This data product is now openly available through the ESA Swarm\\nrepository.\",\"PeriodicalId\":48742,\"journal\":{\"name\":\"Geoscientific Instrumentation Methods and Data Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2022-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geoscientific Instrumentation Methods and Data Systems\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.5194/gi-11-323-2022\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoscientific Instrumentation Methods and Data Systems","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.5194/gi-11-323-2022","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
In situ calibration of the Swarm-Echo magnetometers
Abstract. CASSIOPE/e-POP, now known as Swarm-Echo, was launched in 2013 to study polar
plasma outflow, neutral escape, and the effects of auroral currents on radio
propagation in the ionosphere. The e-POP suite contains an array of eight
instruments, including two fluxgate magnetometers on a shared boom. Until
now, the two magnetometers relied on a set of preflight calibrations, which
limited the accuracy of the magnetic field product and the magnetometers' utility for
some applications. Here we present the results of an in situ calibration
performed on data from 3 January 2014 to 30 January 2021 and a case
study showing the improvements the calibration has made to the data utility.
Periodic vector–vector calibration using the CHAOS magnetic field model
results achieves an estimated root-mean-square (rms) uncertainty of 9 nT during nominal
operation. This data product is now openly available through the ESA Swarm
repository.
期刊介绍:
Geoscientific Instrumentation, Methods and Data Systems (GI) is an open-access interdisciplinary electronic journal for swift publication of original articles and short communications in the area of geoscientific instruments. It covers three main areas: (i) atmospheric and geospace sciences, (ii) earth science, and (iii) ocean science. A unique feature of the journal is the emphasis on synergy between science and technology that facilitates advances in GI. These advances include but are not limited to the following:
concepts, design, and description of instrumentation and data systems;
retrieval techniques of scientific products from measurements;
calibration and data quality assessment;
uncertainty in measurements;
newly developed and planned research platforms and community instrumentation capabilities;
major national and international field campaigns and observational research programs;
new observational strategies to address societal needs in areas such as monitoring climate change and preventing natural disasters;
networking of instruments for enhancing high temporal and spatial resolution of observations.
GI has an innovative two-stage publication process involving the scientific discussion forum Geoscientific Instrumentation, Methods and Data Systems Discussions (GID), which has been designed to do the following:
foster scientific discussion;
maximize the effectiveness and transparency of scientific quality assurance;
enable rapid publication;
make scientific publications freely accessible.